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Don't maintain state for some objects

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还没有人认领这个 Issue。

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难度
5/5
预计耗时
一周以上
新手友好度
35/100
Issue 类型
功能
描述清晰度
基本清楚
活跃度
停滞
技术栈
python
领域
stream-processing

调研方向

Start by reading how stream objects store and propagate state, then compare that behavior with the saveStreamState and restoreStreamState examples in the issue. Define the native behavior around temporarily using current data for predictions without accumulating it, and verify that normal feature rows still update rolling state.

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描述

Hey, thanks for this library, it's great. I'm building an ML application that is learning in an online way. So, it's constantly acquiring new feature rows, but also having to serve up predictions at the same time. I want to use Streamz to accumulate data, however, for my real feature rows, I want the accumulators to maintain state (say, a rolling mean). But for my predictions, I don't want the state to get accumulated into the roller.

As an example, let's say i'm recording temperature measurements once every 15 seconds. Every 15 seconds I want to generate a new feature vector that contains the rolling mean of the last 25 temperatures. However, inside of that 15 second window, I may get asked to serve up a prediction, for which I want to use the current temperature in the rolling mean, but I don't want the current temperature to be accumulated into the roller's state.

Is there a straightforward way to do this currently?

EDIT: For now i'm doing this:

    state = None
    if hasattr(stream, 'state'):
        state = stream.state
    
    return {
        'state': state,
        'children': [saveStreamState(s) for s in stream.downstreams]
    }


def restoreStreamState(stream, stateTree):
    stream.state = stateTree['state']
    for subStream, subTree in zip(stream.downstreams, stateTree['children']):
        restoreStreamState(subStream, subTree)

Which seems to work. It'd be cool if there was some way to do it natively, though.

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  • 阅读贡献指南

从这里开始

  1. 先读完整个 Issue，再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库，在一个分支上完成修改。
  4. 提交 Pull Request，并在描述里引用这个 Issue 编号。

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